Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk.

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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im Januar 2014 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2014

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Hui Chen

http://www.w3.org/2001/XMLSchema#string

Shenghua Xiong

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Xuan Ren

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Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III)

An introduction to ROC analysis

The metabolic syndrome--a new worldwide definition

Metabolic syndrome pandemic.

The metabolic syndrome

The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis.

Risks for cardiovascular disease, stroke, ischaemic heart disease, and diabetes mellitus associated with the metabolic syndrome using the new harmonised definition: findings from nationally representative longitudinal data from an Asian population.

Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin.

Disease-free survival after hepatic resection in hepatocellular carcinoma patients: a prediction approach using artificial neural network.

Metabolic syndrome and dietary components are associated with coronary artery disease risk score in free-living adults: a cross-sectional study

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1-12

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scholarly article

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10.1155/2014/207268

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2014

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2014-01-01T00:00:00Z

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artificial intelligence

metabolic syndrome

Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

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